Hi all,
I am pleased to announce the availability of the second release candidate
of SciPy 0.10.1. Please try out this release and report any problems on the
scipy-dev mailing list. If no new problems are found, the final release
will be available in one week.
Sources and binaries can be found at
http://sourceforge.net/projects/scipy/files/scipy/0.10.1rc2/, release notes
are copied below.
Things that were fixed between RC1 and RC2:
- a compile error with MSVC9 against NumPy master
- include missing Bento files in source release
- some Python 3.x test warnings
- an issue with misc.imread when PIL is not installed
- Arpack single-precision test failures
- cleaned up DeprecationWarnings when Umfpack is not installed
Cheers,
Ralf
==========================
SciPy 0.10.1 Release Notes
==========================
.. contents::
SciPy 0.10.1 is a bug-fix release with no new features compared to 0.10.0.
Main changes
------------
The most important changes are::
1. The single precision routines of ``eigs`` and ``eigsh`` in
``scipy.sparse.linalg`` have been disabled (they internally use double
precision now).
2. A compatibility issue related to changes in NumPy macros has been fixed,
in
order to make scipy 0.10.1 compile with the upcoming numpy 1.7.0 release.
Other issues fixed
------------------
- #835: stats: nan propagation in stats.distributions
- #1202: io: netcdf segfault
- #1531: optimize: make curve_fit work with method as callable.
- #1560: linalg: fixed mistake in eig_banded documentation.
- #1565: ndimage: bug in ndimage.variance
- #1457: ndimage: standard_deviation does not work with sequence of indexes
- #1562: cluster: segfault in linkage function
- #1568: stats: One-sided fisher_exact() returns `p` < 1 for 0 successful
attempts
- #1575: stats: zscore and zmap handle the axis keyword incorrectly
Checksums
=========
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